Knowledge Verification with an Enhanced High-Level Petri-Net Model

  • Authors:
  • Chih-Hung Wu;Shie-Jue Lee

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Expert: Intelligent Systems and Their Applications
  • Year:
  • 1997

Quantified Score

Hi-index 0.00

Visualization

Abstract

To detect improper knowledge effectively requires a sophisticated model representing the underlying system precisely. The authors propose the Enhanced High-Level Petri net for modeling rule-based systems. Rule inference is modeled exactly and some important aspects in rule-based systems, such as conservation of facts, refraction, and closed-world assumption, are considered. Knowledge verification is explored in this model through the reachability problem by a multiple coloring scheme of tokens. The properties of the reachability problems and related transition sequence problems are described. A comparison of the authors' model with other Petri net models is presented.